Working example, using a kNN algorithm for a classification problem.
Through this weekly series, I hope to narrate my foray into data science, its relevance in today’s market and applications within the healthcare sector.
According to the U.S. Department of Commerce, employment within STEM (science, technology, engineering, and mathematics) fields is expected to grow by 17.0% from 2008 to 2018, compared to the 9.8% growth rate of non-STEM related jobs[i]. STEM-related careers have become synonymous with innovation, technological advances, start-up ventures and careers of the future. Additionally, with the advent of STEM type careers, there has been the introduction of developing efficient products and user-friendly apps, cost-effective therapeutic options, STEM has been associated with developing solutions to problems that the greater public faces. However, within this developing field, there remains a troubling statistic: gender disparity within STEM-related jobs and the lack of opportunity for women to advance within their careers.